CN117913425A - Battery refrigerating method of power storage cabinet based on thermodynamic diagram - Google Patents

Battery refrigerating method of power storage cabinet based on thermodynamic diagram Download PDF

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Publication number
CN117913425A
CN117913425A CN202410074767.2A CN202410074767A CN117913425A CN 117913425 A CN117913425 A CN 117913425A CN 202410074767 A CN202410074767 A CN 202410074767A CN 117913425 A CN117913425 A CN 117913425A
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center point
pixel center
gray value
thermodynamic diagram
color
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CN117913425B (en
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吴爱华
王春燕
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Guangdong Yifengsheng Technology Co ltd
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Guangdong Yifengsheng Technology Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00Radiation pyrometry, e.g. infrared or optical thermometry
    • G01J5/48Thermography; Techniques using wholly visual means
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/60Analysis of geometric attributes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/70Determining position or orientation of objects or cameras
    • G06T7/73Determining position or orientation of objects or cameras using feature-based methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/90Determination of colour characteristics
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01MPROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00Secondary cells; Manufacture thereof
    • H01M10/60Heating or cooling; Temperature control
    • H01M10/62Heating or cooling; Temperature control specially adapted for specific applications
    • H01M10/627Stationary installations, e.g. power plant buffering or backup power supplies
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01MPROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00Secondary cells; Manufacture thereof
    • H01M10/60Heating or cooling; Temperature control
    • H01M10/63Control systems
    • H01M10/633Control systems characterised by algorithms, flow charts, software details or the like
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01MPROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00Secondary cells; Manufacture thereof
    • H01M10/60Heating or cooling; Temperature control
    • H01M10/65Means for temperature control structurally associated with the cells
    • H01M10/656Means for temperature control structurally associated with the cells characterised by the type of heat-exchange fluid
    • H01M10/6567Liquids
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10Energy storage using batteries

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Electrochemistry (AREA)
  • General Chemical & Material Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Chemical & Material Sciences (AREA)
  • Manufacturing & Machinery (AREA)
  • Theoretical Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Geometry (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Image Analysis (AREA)

Abstract

The application discloses a thermodynamic diagram-based battery refrigerating method for a power storage cabinet, which comprises the following steps: obtaining a battery module thermodynamic diagram of an electric storage cabinet, dividing the battery module thermodynamic diagram into discrete pixel grids, calculating gray values of pixel center points by adopting an arctangent function, scaling the pixel center points according to the gray values, carrying out virtual gray value color identification on the pixel center points subjected to scaling, constructing a direction statistic array according to the pixel center points subjected to color grading identification, traversing to obtain the hottest center point, introducing refrigerating fluid into the battery module, firstly passing the refrigerating fluid through the hottest center point through a pipeline, and then distributing the refrigerating fluid in each refrigerating area of the battery module to finish refrigeration. According to the application, the hottest center point of the thermodynamic diagram is obtained through nonlinear conversion and gradient processing of color gradient, so that the hottest center point area is refrigerated preferentially, and the efficient refrigeration effect is achieved.

Description

Battery refrigerating method of power storage cabinet based on thermodynamic diagram
Technical Field
The invention relates to the technical field of thermal image processing, and designs a thermodynamic diagram-based battery refrigerating method for an electric storage cabinet.
Background
The thermodynamic diagram is data-dependent spatial position information, has the advantage of comprehensively displaying the spatial characteristics and the attribute characteristics of the data, and can more accurately know the temperature distribution condition inside the equipment through the acquired internal image of the equipment.
The traditional battery method for the refrigeration and electricity storage cabinet generally adopts a mode of uniformly cooling a battery module by using cooling liquid, and does not optimize the internal temperature distribution of the battery, so that the problem of overheat or supercooling of certain areas and energy waste are caused.
Disclosure of Invention
In view of the above-mentioned drawbacks of the prior art, the present invention provides a thermodynamic diagram-based battery cooling method for a power storage cabinet, which comprises the following steps:
S10: acquiring a battery module thermodynamic diagram of the electric storage cabinet, wherein the battery module thermodynamic diagram comprises two or more center points;
S20: dividing the thermodynamic diagram of the battery module into discrete pixel grids, wherein the center points correspond to pixel center points in the pixel grids;
S30: calculating the gray value of the pixel center point by adopting an arctangent function;
S40: scaling the pixel center point according to the gray value;
S50: inputting the pixel center point subjected to the scaling treatment to an HIS color model for virtual gray value color identification;
S60: constructing a direction statistics array according to the pixel center points identified by the color grading, and traversing to obtain the hottest center point;
s70: and introducing the refrigerating fluid into the battery module, firstly passing the refrigerating fluid through the hottest center point through the pipeline, and then distributing the refrigerating fluid in each refrigerating area of the battery module to finish refrigeration.
Preferably, the calculating the gray value of the pixel center point using an arctangent function in S30 includes non-linearly converting the density characteristic value of the pixel center point into the gray value using an arctangent function, where the formula is:
V=510*π-1*arctan(v)
Wherein V is the gray value of the pixel center after the arctangent transformation, V is the density characteristic value of the pixel center, arctan is the positive and negative tangent function, and 510 pi -1 is the gray value range defined in [0, 255 ].
Preferably, the scaling in S40 includes multiplying the pixel center point having a gray value within [0, 150] by an amplification factor, and multiplying the pixel center point having a gray value within (150, 255) by a compression factor.
Preferably, the virtual gray value color identification process in S50 includes setting a fixed threshold epsilon 'with a gray value ratio of the pixel center point as a judgment threshold epsilon, wherein the value of the fixed threshold epsilon' is 0.3, when epsilon is greater than or equal to epsilon ', the virtual gray value color identification is performed on the current pixel center point, and when epsilon < epsilon', the color identification is not performed on the current pixel center point;
The judgment threshold formula is as follows:
Wherein epsilon is a judgment threshold; v' is the gray level total value of all pixel center points.
Preferably, the color identification of the central point of the current pixel includes defining a gradient tone color plate, mapping the gray value of the final central point to the position where the gray value range of the gradient tone color plate is [0.3V,255], completing the color identification of the virtual gray value, and sequentially filling blue, green and red from [0.3V,255] into the gray value corresponding to the color grading;
Preferably, the proportion of the blue, green and red in the gradient palette is 50%, 30% and 20%, respectively.
Preferably, the step S60 specifically includes the following steps:
S6001: constructing a direction statistics array, and inputting the pixel center point information after the color grading identification into the direction statistics array;
S6002: traversing the direction statistics array, and checking whether the direction statistics array accords with the identification condition of the virtual gray value color identification according to the gray value;
S6003: eliminating the pixel center points which do not meet the identification conditions, and recording position information and identification color intensity information on the pixel center points which meet the identification conditions;
S6004: and selecting the point with the highest color intensity from the pixel center points meeting the identification conditions as the hottest center point of the current thermodynamic diagram.
Preferably, the direction statistics array formula is:
Wherein d x is the displacement of the preset pixel center point in the horizontal direction; d y is the displacement of the preset pixel center point in the vertical direction.
The beneficial effects are that:
1. the invention converts the thermodynamic diagram into discrete pixel values, facilitates subsequent processing and analysis, ensures that the data is easier to understand and operate, provides finer image identification for each pixel center point for one grid unit, and further reflects the heat degree of a battery module area by the pixel center points represented by gray values;
2. The invention amplifies the pixel center point with lower gray value, compresses the pixel center point with higher gray value, introduces nonlinear effect, can finely adjust the brightness and contrast of the image, and is more effective in highlighting detail and optimizing the appearance of the image;
3. according to the invention, the path of the cooling liquid is adjusted, the hottest center point of the battery module is refrigerated first, and the hottest area is cooled preferentially, so that the effect of high-efficiency refrigeration is achieved.
Drawings
FIG. 1 is a flow chart of a preferred embodiment of the present invention;
FIG. 2 is a flow chart of the traversal output result according to a preferred embodiment of the invention.
Detailed Description
The following examples of the present invention are described in detail, and are given by way of illustration of the present invention, but the scope of the present invention is not limited to the following examples.
The invention designs a thermodynamic diagram-based battery refrigerating method for a power storage cabinet, which comprises the following steps, as shown in fig. 1, and specifically comprises the following steps:
S10: acquiring a battery module thermodynamic diagram of the electric storage cabinet, wherein the battery module thermodynamic diagram comprises two or more center points;
S20: dividing the thermodynamic diagram of the battery module into discrete pixel grids, wherein the center points correspond to pixel center points in the pixel grids;
S30: calculating the gray value of the pixel center point by adopting an arctangent function;
S40: scaling the pixel center point according to the gray value;
S50: inputting the pixel center point subjected to the scaling treatment to an HIS color model for virtual gray value color identification;
S60: constructing a direction statistics array according to the pixel center points identified by the color grading, and traversing to obtain the hottest center point;
s70: and introducing the refrigerating fluid into the battery module, firstly passing the refrigerating fluid through the hottest center point through the pipeline, and then distributing the refrigerating fluid in each refrigerating area of the battery module to finish refrigeration.
Preferably, calculating the gray value of the pixel center point using the arctangent function in S30 includes non-linearly converting the density characteristic value of the pixel center point into the gray value using the arctangent function, where:
V=510*π-1*arctan(v)
Wherein V is the gray value of the pixel center after the arctangent transformation, V is the density characteristic value of the pixel center, arctan is the positive and negative tangent function, and 510 pi -1 is the gray value range defined in [0, 255 ].
Specifically, in the formula, v is a density characteristic value of a pixel center point, and the value range is [0, + ]; in the formula, "510 pi -1" is used for limiting the gray value to between 0 and 255 after scaling transformation, the contrast of an image can be enhanced by stretching the center point of a pixel with a low gray value and compressing the center point of the pixel with a high gray value, and the gray value is calculated by using an arctangent transformation function, so that a nonlinear effect is introduced. Compared with linear transformation, the nonlinear transformation can be used for adjusting the brightness and contrast of an image more finely, is more effective in highlighting details and optimizing the appearance of the image, and the formula is transformed based on the density characteristic value of the pixel center point, so that the method has certain adaptability, and the image enhancement effect realized through the arctangent transformation can be used for observing and drawing the pixel point with low density characteristic and can be used for observing the center point better.
Preferably, the scaling process in S40 includes multiplying the pixel center point having a gray value within [0, 150] by an amplification factor, and multiplying the pixel center point having a gray value within (150, 255) by a compression factor.
Specifically, the scaling of the pixel center includes multiplying the pixel center with a gray value within [0, 150] by an amplification factor in the range of (1, 10) for enhancing brightness and contrast, multiplying the pixel center with a gray value within (150, 255) by a compression factor in the range of [0.1, 1) for reducing brightness and contrast, which makes the area with lower gray value brighter and the area with higher gray value smoother.
Preferably, the virtual gray value color identification processing in S50 includes setting a fixed threshold epsilon 'by taking the gray value ratio of the pixel center point as a judgment threshold epsilon, wherein the value of the fixed threshold epsilon' is 0.3, when epsilon is greater than or equal to epsilon ', the virtual gray value color identification is performed on the current pixel center point, and when epsilon < epsilon', the color identification is not performed on the current pixel center point;
The judgment threshold formula is as follows:
Wherein epsilon is a judgment threshold; v' is the gray level total value of all pixel center points.
Preferably, the color identification of the current pixel center point comprises defining a gradient tone color plate, mapping the gray value of the final center point to the position with the gray value range of the gradient tone color plate of [0.3V,255], completing the color identification of the virtual gray value, and sequentially filling blue, green and red from [0.3V,255] into the gray value corresponding to the color grading;
preferably, the proportion of blue, green and red in the gradient palette is 50%, 30% and 20%, respectively.
Specifically, the invention adopts the method of mapping the specific numerical range to the corresponding color based on the color mapping, and uses continuous gradual change colors to represent different intensities of data in the thermodynamic diagram, thereby being capable of better helping users to observe and interpret the thermodynamic diagram and searching the hottest center point.
Preferably, as shown in fig. 2, S60 specifically includes the following steps:
S6001: constructing a direction statistics array, and inputting the pixel center point information after the color grading identification into the direction statistics array;
s6002: traversing the direction statistics array, and checking whether the direction statistics array accords with the identification condition of the virtual gray value color identification according to the gray value;
S6003: eliminating the pixel center points which do not meet the identification conditions, and recording position information and identification color intensity information on the pixel center points which meet the identification conditions;
S6004: and selecting the point with the highest color intensity from the pixel center points meeting the identification conditions as the hottest center point of the current thermodynamic diagram.
Preferably, the direction statistics array formula is:
Wherein d x is the displacement of the preset pixel center point in the horizontal direction; d y is the displacement of the preset pixel center point in the vertical direction.
Specifically, the above formula represents the relationship between one center point position and four adjacent center points around the center point position, for example, the current position is (x, y), and then the adjacent four positions are (x+1, y), (x-1, y), (x, y+1), and (x, y-1), respectively.
The foregoing describes in detail preferred embodiments of the present invention. It should be understood that numerous modifications and variations can be made in accordance with the concepts of the invention without requiring creative effort by one of ordinary skill in the art. Therefore, all technical solutions which can be obtained by logic analysis, reasoning or limited experiments based on the prior art by a person skilled in the art according to the inventive concept shall be within the scope of protection defined by the claims.

Claims (8)

1. The battery refrigerating method of the power storage cabinet based on thermodynamic diagram is characterized by comprising the following steps of:
S10: acquiring a battery module thermodynamic diagram of the electric storage cabinet, wherein the battery module thermodynamic diagram comprises two or more center points;
S20: dividing the thermodynamic diagram of the battery module into discrete pixel grids, wherein the center points correspond to pixel center points in the pixel grids;
S30: calculating the gray value of the pixel center point by adopting an arctangent function;
S40: scaling the pixel center point according to the gray value;
S50: inputting the pixel center point subjected to the scaling treatment to an HIS color model for virtual gray value color identification;
S60: constructing a direction statistics array according to the pixel center points identified by the color grading, and traversing to obtain the hottest center point;
s70: and introducing the refrigerating fluid into the battery module, firstly passing the refrigerating fluid through the hottest center point through the pipeline, and then distributing the refrigerating fluid in each refrigerating area of the battery module to finish refrigeration.
2. The thermodynamic diagram-based battery cooling method for a power storage cabinet according to claim 1, wherein the calculating the gray value of the pixel center point using an arctangent function in S30 includes non-linearly converting the density characteristic value of the pixel center point into the gray value using the arctangent function, wherein the formula is:
V=510*π-1*arctan(v)
Wherein V is the gray value of the pixel center after the arctangent transformation, V is the density characteristic value of the pixel center, arctan is the positive and negative tangent function, and 510 pi -1 is the gray value range defined in [0, 255 ].
3. A thermodynamic diagram-based battery cooling method for a power storage cabinet according to claim 1 or 2, wherein the scaling process in S40 includes multiplying the pixel center point having a gray level value within [0, 150] by an amplification factor and multiplying the pixel center point having a gray level value within (150, 255) by a compression factor.
4. The thermodynamic diagram-based battery cooling method for a power storage cabinet according to claim 1 or 2, wherein the virtual gray value color identification processing in S50 includes setting a fixed threshold epsilon 'by taking a gray value duty ratio of a pixel center point as a judgment threshold epsilon, wherein the value of the fixed threshold epsilon' is 0.3, when epsilon is greater than or equal to epsilon ', virtual gray value color identification is performed on the current pixel center point, and when epsilon < epsilon', color identification is not performed on the current pixel center point;
The judgment threshold formula is as follows:
Wherein epsilon is a judgment threshold; v is the gray level total value of all pixel center points.
5. The thermodynamic diagram-based battery cooling method for a power storage cabinet according to claim 4, wherein the color identification of the current pixel center point comprises defining a gradient tone color plate, mapping the final center point gray value to a position with a gray value range of 0.3V,255 of the gradient tone color plate, completing the color identification of the virtual gray value, and sequentially filling blue, green and red with gray values corresponding to color grading from 0.3V, 255.
6. The thermodynamic diagram-based battery cooling method for a power storage cabinet according to claim 5, wherein the proportion of blue, green and red in the gradient color tone plate is 50%, 30% and 20%, respectively.
7. The thermodynamic diagram-based battery cooling method for a power storage cabinet according to claim 1, wherein the step S60 specifically comprises the following steps:
S6001: constructing a direction statistics array, and inputting the pixel center point information after the color grading identification into the direction statistics array;
S6002: traversing the direction statistics array, and checking whether the direction statistics array accords with the identification condition of the virtual gray value color identification according to the gray value;
S6003: eliminating the pixel center points which do not meet the identification conditions, and recording position information and identification color intensity information on the pixel center points which meet the identification conditions;
S6004: and selecting the point with the highest color intensity from the pixel center points meeting the identification conditions as the hottest center point of the current thermodynamic diagram.
8. The thermodynamic diagram-based battery cooling method for a power storage cabinet of claim 7, wherein the direction statistics array formula is:
Wherein d x is the displacement of the preset pixel center point in the horizontal direction; d y is the displacement of the preset pixel center point in the vertical direction.
CN202410074767.2A 2024-01-18 2024-01-18 Battery refrigerating method of power storage cabinet based on thermodynamic diagram Active CN117913425B (en)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101776751B1 (en) * 2016-06-21 2017-09-08 현대자동차 주식회사 Betterly cooling system for vehicle
FR3124321A1 (en) * 2021-06-17 2022-12-23 Psa Automobiles Sa BATTERY PACK SYSTEM AGAINST THERMAL DISPERSION BETWEEN MODULES, VEHICLE AND A METHOD BASED ON SUCH A SYSTEM
CN115986270A (en) * 2023-02-09 2023-04-18 华电内蒙古能源有限公司 Battery system temperature control method and device based on thermodynamic diagram algorithm and battery system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101776751B1 (en) * 2016-06-21 2017-09-08 현대자동차 주식회사 Betterly cooling system for vehicle
FR3124321A1 (en) * 2021-06-17 2022-12-23 Psa Automobiles Sa BATTERY PACK SYSTEM AGAINST THERMAL DISPERSION BETWEEN MODULES, VEHICLE AND A METHOD BASED ON SUCH A SYSTEM
CN115986270A (en) * 2023-02-09 2023-04-18 华电内蒙古能源有限公司 Battery system temperature control method and device based on thermodynamic diagram algorithm and battery system

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